摘要
声音信号包含着很多的信息量,且获取比较方便。近年来,声音识别技术被广泛应用于各个领域,有着重要的意义。本文通过MATLAB软件平台,利用小波变换提取不同类型的车辆声音信号的特征参数,采用基于BP算法的模糊神经网络模型对车型进行识别。
Voice signal contains a lot of information,and to obtain more convenient. In recent years,the voice recognition technology is widely used in various fields,is of great significance. In this paper,through the MATLAB software platform,using wavelet transform to extract the characteristic parameters of different types of vehicle sound signal,the fuzzy neural network model based on BP algorithm to identify models.
出处
《自动化与仪器仪表》
2016年第6期3-4,共2页
Automation & Instrumentation
关键词
模糊神经网络
BP算法
车辆
声音信号识别
A fuzzy neural network
BP algorithm
Vehicle
Voice signal recognition
